Master of Electrical Engineering (MEE) Degree

Program Learning Outcomes for the MEE Degree

Upon completing the MEE degree, students will be able to:

  1. Apply the principles of mathematics and science necessary to solve advanced electrical engineering problems.
  2. Practice at an advanced level in at least one of the major sub-fields of electrical engineering.

Requirements for the MEE Degree

The MEE degree is a non-thesis master's degree. For general university requirements, please see Non-Thesis Master's Degrees. Students pursuing the MEE degree must complete:

  • A minimum of 10 courses (30 credit hours) at the 500-level or higher to satisfy degree requirements.
  • A minimum of 6 courses (18 credit hours) from an Area of Specialization (as a major area of focus).
  • A minimum of 2 courses (6 credit hours) from another Area of Specialization (as a minor area).
  • A minimum of 8 of the 10 courses in the major and minor Areas of Specialization taught by ECE faculty. Only exceptions approved by the Chair of the MEE Committee will be permitted.
  • A minimum overall GPA of 3.0 in required coursework with a minimum grade of C (2.0 grade points) in each course.
  • A maximum of 1 course (3 credit hours) of graduate-level coursework from transfer credit. For additional departmental guidelines regarding transfer credit, see the Policies tab. 
  • ELEC 698 each semester of full-time enrollment. 

Students are admitted to the MEE degree program in the fall semester. MEE students are to consult with an academic advisor on the MEE Committee each semester in order to identify and clearly document their individual curricular requirements or degree plan to be followed. An MEE degree planning form and current requirements may be found on the ECE website.

Summary

Total Credit Hours Required for the MEE Degree30

Degree Requirements

Select 1 Area of Specialization from the following (see below for Areas of Specialization): 118
Computer Engineering
Data Science
Neuroengineering
Photonics, Electronics, and Nano-Devices
Systems
Select 2 courses from another Area of Specialization as a minor area 16
Free Electives 26
ELEC 698ECE PROFESSIONAL MASTERS SEMINAR SERIES (required each semester of full-time enrollment, credit hours earned do not apply towards degree requirements)1
Total Credit Hours30

 Footnotes and Additional Information

Areas of Specialization

Students must complete a minimum of 6 courses (18 credit hours) from one area of specialization and a minimum of 2 courses (6 credit hours) from another area of specialization as a minor area. The following courses represent typical courses under the current 5 areas of specialization that students may study as part of the MEE degree program. Students may take and are encouraged to take, with the approval of an academic advisor, other courses that are not listed below that are consistent with their career objectives. ELEC 590 may not be applied toward the requirements for the areas of specialization.

Area of Specialization: Computer Engineering 

Select 6 from the following:18
COMPLEXITY IN MODERN SYSTEMS
ANALOG INTEGRATED CIRCUITS
ADVANCED VLSI DESIGN
MOBILE AND WIRELESS NETWORKING
HIGH PERFORMANCE COMPUTER ARCHITECTURE
VLSI SYSTEMS DESIGN
MOBILE AND EMBEDDED SYSTEM DESIGN AND APPLICATION
COMPUTER SYSTEMS ARCHITECTURE
Total Credit Hours18

Area of Specialization: Data Science 

Select 6 from the following:18
NEURAL MACHINE LEARNING I
STATISTICAL MACHINE LEARNING
STATISTICAL SIGNAL PROCESSING
INTRODUCTION TO RANDOM PROCESSES AND APPLICATIONS
INFORMATION THEORY
ARTIFICIAL INTELLIGENCE
DIGITAL SIGNAL PROCESSING
LEARNING FROM SENSOR DATA
A PRACTICAL INTRODUCTION TO DEEP MACHINE LEARNING
ADVANCED TOPICS IN SIGNAL PROCESSING
GRAPHICAL MODELS AND NETWORKS
Total Credit Hours18

Area of Specialization: Neuroengineering 

Select 6 from the following:18
NEURAL MACHINE LEARNING I
INTRODUCTION TO RANDOM PROCESSES AND APPLICATIONS
MACHINE LEARNING AND SIGNAL PROCESSING FOR NEURO ENGINEERING
FUNDAMENTALS OF MEDICAL IMAGING I
THEORETICAL NEUROSCIENCE I: BIOPHYSICAL MODELING OF CELLS AND CIRCUITS
NEURAL COMPUTATION
NANO-NEUROTECHNOLOGY
INTRODUCTION TO COMPUTATIONAL NEURSCIENCE
Total Credit Hours18

Area of Specialization: Photonics, Electronics, and Nano-Devices

Select 6 from the following:18
OPTOELECTRONIC DEVICES
LASER SPECTROSCOPY
ULTRAFAST OPTICAL PHENOMENA
IMAGING AT THE NANOSCALE
TOPICS IN NANOPHOTONICS
COMPUTATIONAL ELECTRODYNAMICS AND NANOPHOTONICS
ELEC 661 / CHEM 661 / MSNE 661
NANOPHOTONICS, SPECTROSCOPY, AND MATERIALS FOR SUSTAINABILITY
Total Credit Hours18

Area of Specialization: Systems 

Select 6 from the following:18
STATISTICAL SIGNAL PROCESSING
INTRODUCTION TO RANDOM PROCESSES AND APPLICATIONS
INFORMATION THEORY
COMMUNICATION NETWORKS
INTRODUCTION TO COMMUNICATION NETWORKS
THE APPLICATION OF VECTOR SPACE METHODS AND OTHER ADVANCED TECHNIQUES TO DSP
INTRODUCTION TO COMPUTER VISION
COMPUTER VISION
COMPUTATIONAL PHOTOGRAPHY
DIGITAL COMMUNICATION
DIGITAL SIGNAL PROCESSING
Total Credit Hours18

Policies for the MEE Degree

Department of Electrical and Computer Engineering Graduate Program Handbook

The General Announcements (GA) is the official Rice curriculum. As an additional resource for students, the department of Electrical and Computer Engineering publishes a graduate program handbook, which can be found here: 
http://gradhandbooks.rice.edu/2017_18/Electrical_Computer_Engineering_Graduate_Handbook.pdf.

Transfer Credit 

For Rice University’s policy regarding transfer credit, see Transfer Credit. Some departments and programs have additional restrictions on transfer credit. Students are encouraged to meet with their academic program’s advisor when considering transfer credit possibilities.

Departmental Transfer Credit Guidelines

Students pursuing the MEE degree in the field of Electrical and Computer Engineering should be aware of the following departmental transfer credit guidelines:

  • No more than 2 courses (6 credit hours) of transfer credit from U.S. or international universities of similar standing as Rice may apply towards the degree.
  • Requests for transfer credit will be considered by the program director (and/or the program’s official transfer credit advisor) on an individual case-by-case basis.

For additional information, please see the Electrical and Computer Engineering website: https://www.ece.rice.edu/.

Opportunities for the MEE Degree 

For additional information, please see the Electrical and Computer Engineering website: https://www.ece.rice.edu/.